Gen AI Lead

TechDigital Group; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

TechDigital Group seeks a Sr AI/ML Lead to design, develop, and deploy end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies. You will lead Gen AI and agentic AI initiatives for enterprise telecom and retail use cases.

The role emphasizes data pipelines, model evaluation, and collaboration with data scientists and solution architects to translate requirements into scalable technical implementations.

Qualifications

• 10+ years of AI/ML development and Python-based solutions in Telco/Retail domains.
• Experience with Generative AI, LLMs, and end-to-end AI/ML deployment.
• Strong data pipelines, ETL, and data engineering fundamentals.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI models for enterprise use cases.
• Build and optimize data pipelines for training, validation, and inference.
• Develop web-based AI applications using Flask, FastAPI, or Django.

Skills

Gen AI/Agentic AI

ML Development lifecycle

Python

Web Frameworks

MLOps

Data Engineering

AI/LLMs

RAG / Vector DB

LangChain / LangGraph

CI/CD / Git Actions

Tools

TensorFlow

PyTorch

Spark

Databricks

FastAPI

Flask

Django

Kubernetes

AWS / Azure / GCP

Plotly / Dash / Tableau / Power BI

Job description

Gen AI Lead

Mandatory Skills: Gen AI/Agentic AI /ML

Job Description

Keywords: AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering

Role Overview

Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing Machine Learning and Generative AI solutions. The role involves designing, developing, and deploying end-to-end AI/ML applications using Python, popular ML frameworks, and modern web technologies.

Tecnhical Skills: Must Have Skills

• Machine learning development lifecycle - (Data preparation, Data visualization, Statistical Analysis, feature engineering, Predictive modeling, Model deployment, Model monitoring), CI/CD, MLOps, Generative
• AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping
• Data & Engineering – SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL, Data pipelines, Databricks and distributed computing.
• Programming Languages: SQL, Pyspark, Scala, R, Python, SAS
• Gen AI & Agents – Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language Models (LLMs),LangChain, LangGraph, Explainable AI, Conversational AI, Chat bots and Tuning, LLM Evaluations and Cost monitoring, HuggingFace
• Tools/Framework: Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib, Seaborn,Plotly, Streamlit
• Cloud & MLOps: AWS Sagemaker, Azure ML, or GCP AI Platform; Git, Docker, CI/CD.

Role Activities

• Design, develop, and deploy AI/ML and Generative AI models for enterprise and telecom use cases.
• Build and optimize data pipelines for training, validation, and inference processes.
• Develop web-based AI applications using frameworks like Flask, FastAPI, or Django.
• Implement LLM-based solutions such as chatbots, summarization, and RAG-based systems.
• Collaborate with data scientists, solution architects, and business teams to understand functional requirements and translate them into technical implementations.
• Participate in proof-of-concept (PoC) development for AI/ML and automation use cases.
• Conduct model evaluation, fine-tuning, and performance optimization.
• Work with APIs, data sources, and cloud-based ML services (AWS, Azure, GCP).
• Follow best practices in MLOps, model versioning, and CI/CD integration.
• Prepare technical documentation, training materials, and demo presentations.

Domain Skills Requirements

• At least 10+ years of experience in AI/ML development and Python-based solutions for Telco/Retail Domains
• Desired Domain Experienced
  • Telecom BSS & OSS domain and understanding of fixed, mobile, IoT & convergence domains and related markets
  • Business Systems (BSS)- Understanding of E2E BSS Solutions across Sales, Marketing, Finance, Product Management, Care areas for CSPs.
  • Knowledge on data integration for telecom industry B/OSS COTS & Data Models ( Amdocs, NetCracker, CSG etc.)

Preferred Qualifications

• Certification in AI/ML, Deep Learning, or Generative AI is a plus.